Data Snack - Interactive Visualization with the R Package Shiny: A Tool for Building Research Data and Software Competencies
Year: 2025
Type: article
Abstract: Interactive tools such as the Shiny R package enable researchers to design and share user-friendly, reproducible data applications that directly support the development of research data and software competencies (RDSCs). By lowering barriers to accessibility and promoting transparency, Shiny provides a flexible environment where complex data workflows can be operationalized in a way that is both intuitive and reusable. This Data Snack explores how Shiny can be used to strengthen training and practice in RDSCs by enhancing analytical workflows, supporting reproducibility, and enabling hands-on learning. A simulation-based Shiny application is presented as an example, demonstrating the development and application of competencies in data visualization, statistical modeling, and software reusability. The session also considers the broader educational and practical implications of embedding such tools into teaching, research, and professional development programs. Emphasis is placed on how interactive applications not only facilitate technical learning but also foster long-term skills in reproducible research, transparent communication, and collaborative data science practice.
Author: Movahedifar, Maryam
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7093333426
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